The 7th International Symposium on Computational Intelligence and Industrial Applications (ISCIIA2016) will be held in Nov.3-.6, at Beijing Institute of Technology, Beijing, P.R. China. The Main theme of the Conference is Advanced Technologies for Computational Intelligence and Industrial Applications. The conference is Ei indexed and excellent selected papers will be recommended to be included in the special issue of JACIII(Journal of Advance Computational Intelligence and Intelligent Informatics, SCOPUS and ESCI indexed). Technical topics of the conference include but are not limited to:

The 7th International Symposium on Computational Intelligence and Industrial Applications (ISCIIA2016) will be held in Nov.3-.6, at Beijing Institute of Technology, Beijing, P.R. China. The Main theme of the Conference is Advanced Technologies for Computational Intelligence and Industrial Applications.The conference is Ei indexed and excellent selected papers will be recommended to be included in the special issue ofJACIII(Journal of Advance Computational Intelligence and Intelligent Informatics, SCOPUS and ESCI indexed). Technical topics of the conference include but are not limited to:

We invite proposals for organized session for the 7th International Symposium on Computational Intelligence and Industrial Applications (ISCIIA 2016). Each Organized Session should include five presentations in principle. Registration fee for the session organizer will be discounted to free-of-charge in order to encourage session organization. Note that the discount will be applied only for one Principal Organizer for each Organized Session. Session organizer will submit the own organized session proposal in the format below, until the proposal deadline, May 20th, 2016,June 20th, 2016 (extended), via e-mail (in below).

Proposal Format

(1) Title of the Organized Session

(2) Principal Organizer Information

Name/Affiliation/E-mail

(3) Co-organizers' Information (if any)

Names/Affiliations/E-mails

(4) List of Expected Presentations

List of 5 speakers with their names, affiliations, and tentative titles or topics.

Abstract: It is well known that we, human-beings, have three fundamental elements in our mind: intelligence, emotion, and intention. Nowadays, artificial intelligence (AI) has attracted much attention. Some people predict that a lot of jobs will be replaced by machines with AI. Machines with only intelligence are not sufficient and maybe even dangerous to human-beings. This is because emotional and intentional aspects are ignored. I believe that truly human-friendly machines should have both intelligence and emotion model. Highly intelligent machines should communicate with human-beings naturally and pleasantly. In order to make such a communication, Sympathetic Intelligence should be considered. Sympathetic Intelligence is composed of intelligent and emotional aspects and it means high intelligence with the ability of considering the other people's situation and feelings properly.

BIO: Masafumi Hagiwara received his B.E., M.E. and Ph.D degrees in electrical engineering from Keio University, Yokohama, Japan, in 1982, 1984 and 1987, respectively. Since 1987 he has been with Keio University, where he is now a Professor. From 1991 to 1993, he was a visiting scholar at Stanford University. He received IEEE Consumer Electronics Society Chester Sall Award in 1990, Authorship Award from the Japan Society of Fuzzy Theory and Systems in 1996, Technical Award and Paper Awards from Japan Society of Kansei Engineering in 2003, 2004 and 2014, Best research award from Japanese Neural Network Society in 2013. He is a member of IEICE, IPSJ, JSAI, SOFT, IEE of Japan, Japan Society of Kansei Engineering, JNNS and IEEE (Senior member). His research interests include neural networks, fuzzy systems, and affective engineering. He is now the president of the Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT).

Keynote Speaker 2: Witold Pedrycz (University of Alberta)

Title: Granular Data Analytics

Abstract: The apparent challenges in data analytics inherently associate with large volumes of data, data variability, and an evident quest for transparency and interpretability of obtained results. We advocate that information granules play a pivotal role in addressing these key challenges. We demonstrate that a framework of Granular Computing along with a diversity of its formal settings offers a badly needed conceptual and algorithmic environment that becomes instrumental for data analytics.

We elaborate on selected ways in which information granules and their processing address help in coping with abundance of data. A suitable perspective built with the aid of information granules is advantageous in realizing a suitable level of abstraction and forming sound, problem-oriented tradeoffs among precision of results, easiness of their interpretation, value of the results and their stability. All those aspects emphasize importance of actionability and interestingness of the produced findings.

Discussed are various ways of forming information granules carried out on a basis of abundant data with the mechanisms of information granulation applied to the reduction of amount of data and dimensionality of data. The development of information granules of higher type and higher order is advocated and their unique role in realizing a hierarchy of processing and coping with a distributed nature of available data is presented. The detailed investigations are focused on selected problems of building auto-encoders in architectures of deep learning, and evolution of information granules in describing dynamics of data streams.

BIO: Witold Pedrycz is Professor and Canada Research Chair (CRC - Computational Intelligence) in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. He also holds an appointment of special professorship in the School of Computer Science, University of Nottingham, UK. In 2009 Dr. Pedrycz was elected a foreign member of the Polish Academy of Sciences. In 2012 he was elected a Fellow of the Royal Society of Canada. Witold Pedrycz has been a member of numerous program committees of IEEE conferences in the area of fuzzy sets and neurocomputing. In 2007 he received a prestigious Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Council and in 2013 a Killam Prize. He is a recipient of the IEEE Canada Computer Engineering Medal 2008. In 2009 he has received a Cajastur Prize for Soft Computing from the European Centre for Soft Computing for “pioneering and multifaceted contributions to Granular Computing”.
His main research directions involve Computational Intelligence, fuzzy modeling and Granular Computing, knowledge discovery and data mining, fuzzy control, pattern recognition, knowledge-based neural networks, relational computing, and Software Engineering. He has published numerous papers in this area. He is also an author of 15 research monographs covering various aspects of Computational Intelligence and Software Engineering.

Abstract: Electrical machines and drive systems account for about 46% of all global electricity consumption, resulting in about 6,040 Mt of CO2 emissions. This is by far the largest portion of electricity use, easily outstripping lighting, which takes up to 19% of the world’s demand. Therefore, the energy efficiency of electrical drive systems is very important for the energy conservation, environment and sustainable development of the world.

Electrical drive systems are key components in many modern appliances, as well as industry equipment and systems. In order to achieve the best design objectives, such as high performance and low cost, various optimization methods have been developed for design optimization of electrical machines and drive systems. The traditional design optimization is at the component level, e.g. optimization of a motor design or the parameters of a control algorithm. However, modern appliances or systems demand that the drive systems be specifically designed and optimized to provide full support to their best functionalities with multiple performance indicators. For such applications, an application-oriented multi-objective system-level design optimization method is developed. Because of the complexity of drive system design that involves many disciplines, such as electromagnetics, materials, mechanical dynamics including structural, thermal, and vibrational analyses, power electronic convertors, and control algorithms, a multi-level optimization method was developed by the authors to improve the effectiveness of the optimization of electrical machines as well as drive systems.

On the other hand, the real quality of motors and drives in mass production highly depends on the available machinery technology and those unavoidable variations or uncertainties in the manufacturing process, assembly process and operation environment. The manufacturing precision and tolerances are two main issues in the manufacturing process, including mainly the variations of material characteristics, such as magnetization faults in terms of magnitude and magnetization direction for permanent magnets (PMs), and density and permeability of soft-magnetic-composite (SMC) stator cores manufactured by powder metallic moulding technology, and dimensional variations of parts of drive systems, such as the rotor, stator, winding and PMs. The assembly process variations mainly include the lamination of silicon steel sheets, and misalignments of stator, rotor and PMs. The operating uncertainties mainly include the load variations, changes of electrical and mechanical parameters, such as the changes of resistance and inductance due to the operational temperature rise, and fluctuations of drive voltage.

Limited by these variations in the practical machinery technology, an aggressively optimized design may be difficult for high quality batch production and end up with high rejection rates. Similarly, variations in system parameters and operational conditions may also lead to sub-optimal performance, and in a severe case, even instability. To solve this type of problems, the methodology of Six-Sigma quality control can be adopted to develop a robust design optimization method to guarantee the high quality batch production of drive systems.

Based on many years of research experience, this talk aims to present a brief introduction of efficient application-oriented, multi-disciplinary, multi-objective, and multi-level design optimization methods for advanced high quality electrical drive systems. The multi-disciplinary analysis includes materials, electromagnetics, thermotics, mechanics, power electronics, applied mathematics, machinery technology, and quality control and management.

BIO: Prof. J. G. Zhu received his BE in 1982 from Jiangsu Institute of Technology, China, ME in 1987 from Shanghai University of Technology, China, and Ph.D in 1995 from University of Technology Sydney (UTS), Australia, all in electrical engineering. He currently holds the positions of Professor of Electrical Engineering and Head for School of Electrical, Mechanical and Mechatronic Systems at UTS, Australia. His research interests include electromagnetics, magnetic properties of materials, electrical machines and drives, power electronics, green energy systems and smart micro grids.

Abstract: With the increasing complexity of the industrial process systems, it is more and more difficult to establish an accurate mechanistic model. Modern measurement techniques enable large amounts of process data to be easily collected, stored and analyzed. Computational intelligence expands the traditional computing model and then provides a new solution to solve complex problems. The data-driven intelligent modeling method has become one of the research hotspots. As a kind of artificial neural networks, the feedforward network has attracted important attention from researchers. In this report, we will mainly discuss some Extreme Learning Machine (ELM) models based on the hierarchical structure design and the double parallel structure design as well as their applications to modeling complex chemical processes. Then we will further provide a data envelopment analysis combined with partial least square regression based double parallel ELM model for energy efficiency evaluation. Case studies are carried out and the simulation results are given and analyzed.

BIO: Dr. Qunxiong Zhu is now a Professor and the Dean of the College of Information Science and Technology at the Beijing University of Chemical Technology, China. He is also the director of the Engineering Research Center of Intelligent Process System Engineering, Ministry of Education of China. He has been the President of the Beijing Association of Automation, an executive member of Chinese Association of Automation (CAA), the Vice-Chairman of Technical Committee on Process Control of CAA, a member of Chemical Industry and Engineering Society of China (CIESC), the Vice-Chairman of Technical Committee on IT application of CIESC. He received the first and second prizes respectively for scientific and technological progress from the China Petroleum and Chemical Industry Federation, the first prizes for scientific and technological progress from the China Petroleum and Chemical Industry Automation Application Association, Comprehensive Contributions Award to Chinese Process Control from CAA, Technical Contributions Award and Education Contributions Award to IT application from CIESC. He is also a gainer of Teaching Celebrities in Beijing Higher Education. His research interests include intelligent modeling, engineering optimization, data mining, alarm system design, fault diagnosis, and emergency rescue virtual reality.

Af Chief Senior Research Scientist, National Institute of Advanced Industrial Science and Technology(AIST)

Professor, School of Computing, Tokyo Institute of Technology

Visiting Fellow, the Age Lab., Massachusetts Institute of Technology

Abstract: Robot therapy, which uses robots as a substitution for animals in “animal therapy,” is a new robot application in the fields of welfare and patient care. The baby seal robot “PARO” began development for robot therapy in 1993. PARO was commercialized in Japan in 2005, and in Europe and the U.S. in 2009, and about 4,500 PAROs have been used in hospitals and care facilities in more than 30 countries. Recent clinical trials including randomized controlled trials have revealed that robot therapy has a similar effect on patients as animal therapy. In 2009, the U.S. Food and Drug Administration (FDA) certified PARO as a “neurological therapeutic medical device.” PARO can be used in various kinds of therapy such as people with dementia, palliative care for cancer patients, and children and adolescences with developmental and psychological disorder. PARO can reduce usage of psychotropic medications as non-pharmacological therapy. PARO can also reduce burden of care and nursing, and social cost of medical and welfare service.

Invited Talk 2: International co-operation to challenge the 4th Industrial Revolution based on intelligent science and industrial technology

Speaker: Jianping Jing

CEO, KTI Semiconductor Manufacturing Machine Co., Ltd

Professor, Automation School, University of Electronic Science and Technology of China

Abstract: Recently I4.0 and Intelligent Manufacturing are very hot topics in the industry. In German, America, Japan, and China, all of them raised their country strategy to catch up this new industrial revolution. Sometimes we notice that the course of computational intelligence science got the huge advantage, and that the detonated intelligent science could be widely applied in industry. This invited talk focuses on the international co-operation to challenge the 4th revolution based on intelligent science and industrial technology by showing that how to develop intelligent machine at an intelligent space (factory) under Intelligent manufacturing conception.

Invited Talk 3: New schools encompassing undergraduate and graduate education and Programs for leading graduate schools in Tokyo Tech

Speaker: Masayuki Yamamura

Vice Dean, School of Computing, Tokyo Institute of Technology

Abstract: In April 2016, Tokyo Tech became the first university in Japan to establish Schools that encompass undergraduate and graduate education. This talk briefly introduce new schools and the change from old educational systems. Tokyo Tech also has four programs for leading graduate schools encompassing master course and doctoral course established in 2011. This talk picks up Academy of Computational Life Sciences to show new interdisciplinary education.

Abstract: Haiku is a short form of Japanese poetry, and a Kukai refers to a gathering for creating haiku. We propose a new approach based on the Kukai-method, motivated by the five stages in the process of creating haiku, including: proposal, recording, selection, presentation, evaluation, for creating innovative ideas in the perspective of kansei-engineering. Furthermore, we develop a support system that implements our approach and validates its efficiency. The approach can be applied to promoting business processes, developing a new product in a company, etc. The developed system is the first system that is equipped with the method of Kukai. The traditional KJ method, that people make a direct discuss over an issue with paper sheets, requires that participants be familiar with the method. The proposed approach only need participants to have access to the Internet, and allows a larger range of people from the novices to the experts to participate. The efficiency of our system through well-designed experiments is confirmed.

For submitting a paper to ISCIIA 2016, you need to login to the online paper submission system via the following URL: https://conf.fujipress.com/isciia2016/. If you are a new user, please register your account and then login.

Submitted papers will be carefully evaluated based on originality, significance, technical soundness, presentation and clarity of exposition. Accepted papers will be given guidelines in preparing and submitting the final manuscript(s) together with the notification of acceptance.

Page Limit: For initial manuscript, the page limit of 4-8 inclusive of figures and table. That means the paper length should be no less than 4 pages and no more than 8 pages.

Review: ISCIIA 2016 uses single-blind review process (i.e., author(s) cannot see the reviewers). So please feel free to include the author names in the submitted papers.

Double submissions: Each paper should be submitted only to one of the ISCIIA 2016 tracks or workshops. In case of double submissions of the same paper, ISCIIA 2016 reserves the right to reject the paper.

Formatting GuidelineImportant Details for Final Camera-Ready Paper Preparation
Papers must be prepared at the highest level of quality for inclusion in the conference proceedings. All papers must be written in standard English and prepared in compliance with the paper formatting template. The following details on these factors should be carefully considered in preparation of papers.

► All authors should revisit the Microsoft Word template to ensure that important paper preparation instructions and conventions are followed.

► Page Limit: For accepted or camera-ready papers, the page limit is 4-6 inclusive of figures and tables. That means the length of the paper should be no less than 4 pages and no more than 6 pages. Please note that ISCIIA 2016 offers the option to buy up to two extra pages for submission.

► Language: The official language for the conference is English. Less than satisfactory English usage may form the sole basis for rejection of a paper and omission of any such final paper version from the conference proceedings.

Please complete the registration form and send it to isciia_2016@163.com before August 25, 2016.

The registration form can be downloaded by the link ''docs/2016-08/20160814061523107713.doc'' (pls. click on the link to download it!). If you can not download the registration form, please retry by changing your browser to others e.g., from MS IE to Firefox or MS Edge.

Registration Payment:

​For Chinese

For Chinese participants, please transfer the registration fee to the following account; please also pay special attention to the subsequent important reminder notice:

For Japanese
Since it may bring some difficulties to transfer registration fee from Japan to Beijing by using international bank transfer, we would like to recommend participants living in Japan to pay the registration fee (in Japanese yen) to the following account

みずほ銀行 大岡山支店(支店番号１４５)
普通口座 １８２５１１５
名義 ヒロタケンキュウシツダイヒョウヒロタカオル

Please note that
1) Money transfer charge should be paid by participants,
2) Remitter's name should be the participants name (in the case if other name is used, please inform the name and the date to conference secretary by e-mail).

For Other Foreigners

If you can attend the conference ISCIIA 2016 during Nov 3-6, 2016 at Beijing, China, you can pay by Chinese money cash only (no credit card service) on site.

If you have any further questions about the registration and payment, please contact Mr. Bin Xin (Email: brucebin@bit.edu.cn ; Office Tel.: 86-10-68912463) .

ISCIIA2016 will be held at the BIT International Educational Exchange Building which is located near the north gate of the Zhongguancun Campus of the Beijing Institute of Technology (BIT), Beijing. The following map shows its appearance and position with regard to the BIT campus and main hotels nearby. Different traffic routes for reaching the conference venue are presented in the Transportation & Travel column at the homepage.

Payment: On-site payment by major international credit cards possible.

Only 50 rooms are available (mainly for oversea participants). Please make a reservation by using the registration form. Other recommended hotels are in the below. In those cases, please make a reservation by yourself.

Oversea guests on arrival may depart from Terminal 3 of the Beijing Capital International Airport to the Conference Venue (Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian District) or neighboring hotels by airport shuttle, taxi or subway.

Buy tickets from the bus ticket offices at Gate No.7 or No.9 (Outside) on the 1st Floor of Terminal 3.Line 4 (Gongzhufen) [in Chinese: 4号线，公主坟]: Get off at the Friendship Hotel Station (友谊宾馆). Please let the bus driver remind you of the arrival at this station.Price: 24 RMBTime: about 1.5 hours if no traffic jam occurs.Operation period: 7:00 a.m. to the time from which no domestic flights will arrive (usually after midnight). Interval: 20 minutes.
The position of the bus stop for debarkation can be found in the map:

The opposite route (from the Friendship Hotel Station to the Airport).
Price: 24 RMB.
Time: about 1.5 hours if no traffic jam occurs.
Operation period: 5:30 -- 21:00. Interval: 20 minutes.
The bus stop for boarding is located at the opposite side of the main road (see the map below).

Airport Taxi:

Please let the taxi driver clearly know your destination. Note that Beijing Institute of Technology has several campuses located at different places. The conference venue is located at the Zhongguancun Campus of Beijing Institute of Technology(北京理工大学中关村校区), Haidian District(海淀区). The journey is about 35 km and will take about 40 minutes if no traffic jam occurs.
The charge of a taxi from the International Airport to the conference venue or neighboring hotels is about 150 RMB.

The total cost for the travel by subway is about 30 RMB with nearly an hour's journey.
Operation period: 6:20—22:30
Take the Airport Express at Terminal 3, and only two transfers are needed. The first is at the DONGZHIMEN Station (东直门), transferring from Airport Express to Line 2 (XIZHIMEN Direction). The second is at the XIZHIMEN Station (西直门), transferring from Line 2 to Line 4 (ANHEQIAO North Direction). Get off at the WeiGongCun station and walk out of the station by Exit A. Then, you can take a taxi to reach the north gate of the Beijing Institute of Technology (less than 2 kilometers, about 13 RMB cost). The conference site "BIT International Educational Exchange Building"(理工国际教育交流大厦) is next to the north gate. If you prefer having a walking to taking a taxi, you can go ahead and walk about 150 meters to reach the east gate of BIT campus after getting out of the station by Exit A (we will have volunteers at Exit A to guide you). Then, walk through the BIT campus to reach the north gate (about 1.3 kilometers). You can also refer to the Campus Map for reference (See Part 3).

Guests on arrival may reach the Conference Venue (Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian District) or neighboring hotels by subway or taxi.

Beijing South Railway Station

The most convenient subway route is marked in the following map. Operation period: 5:15—23:00. Ticket Price: 5 RMB.

Taxi:
Please let the taxi driver clearly know your destination. Note that Beijing Institute of Technology has several campuses located at different places. The conference venue is located at the Zhongguancun Campus of Beijing Institute of Technology(北京理工大学中关村校区), Haidian District(海淀区). The journey is about 20 km and will take about 20 minutes if no traffic jam occurs.
The charge of a taxi from the Beijing South Railway Station to the conference venue or neighboring hotels is about 50 RMB.

Beijing West Railway Station

The most convenient subway route is marked in the following map. Operation period: 5:40—23:00. Ticket Price: 4 RMB.

Taxi:

Please let the taxi driver clearly know your destination. Note that Beijing Institute of Technology has several campuses located at different places. The conference venue is located at the Zhongguancun Campus of Beijing Institute of Technology(北京理工大学中关村校区). The journey is about 10 km and will take about 10 minutes if no traffic jam occurs.
The charge of a taxi from the Beijing West Railway Station to the conference venue or neighboring hotels is about 30 RMB.

Beijing Railway Station

The most convenient subway route is marked in the following map. Operation period: 5:15—23:00. Ticket Price: 5 RMB.

Taxi:
Please let the taxi driver clearly know your destination. Note that Beijing Institute of Technology has several campuses located at different places. The conference venue is located at the Zhongguancun Campus of Beijing Institute of Technology(北京理工大学中关村校区), Haidian District(海淀区). The journey is about 20 km and will take about 40 minutes if no serious traffic jam occurs.
The charge of a taxi from the Beijing Railway Station to the conference venue or neighboring hotels is about 60 RMB.